考虑富氧燃烧技术与需求响应的工业园区综合能源系统优化调度

doi:10.11930/j.issn.1004-9649.202507026

摘要/Abstract

摘要：

在碳达峰和碳中和背景下，工业园区综合能源系统（integrated energy system，IES）因其较高的灵活性和较低的碳排放受到了广泛关注。为降低工业园区IES的碳排放，并提高工业园区IES的经济效益，构建了考虑富氧燃烧捕集技术与电转氢（power-to-hydrogen，P2H）技术合作以及需求响应机制的工业园区IES系统优化调度模型。首先，该模型通过对火电机组进行富氧燃烧改造来提高系统灵活性，降低火电机组碳排放；其次，通过引入P2H与富氧燃烧电厂合作，不仅提高了风光消纳量，也降低了富氧燃烧电厂供氧压力；然后，通过掺氢设备降低了能量转化过程中的损耗，实现了氢气高位利用；最后，通过引入需求响应，进一步提高IES的灵活性，降低碳排放，并基于此建立了该工业园区IES的最小成本优化调度模型。通过案例研究发现实际碳排放较碳配额低29.60%，验证了该模型的有效性，并分析了部分关键变量对工业园区IES的影响。

关键词: 综合能源系统, 富氧燃烧电厂, 激励型需求响应, 热效率变化, P2H合作机制

Abstract:

Under the background of carbon peaking and carbon neutrality, the integrated energy system (IES) in industrial parks has attracted widespread attention due to its high flexibility and low carbon emissions. To further reduce carbon emissions of the industrial park IES and improve its economic benefits, we develops an optimal scheduling model for the industrial park IES, considering the cooperation between oxy-fuel combustion capture technology and power-to-hydrogen (P2H) technology, and the demand response mechanism. Firstly, the model improves system flexibility and reduces carbon emissions of thermal power units by retrofitting them with oxy-fuel combustion. Secondly, the introduction of cooperation between P2H and oxy-fuel combustion power plants not only increases the absorption capacity of wind and solar energy but also reduces the oxygen supply pressure of oxy-fuel combustion power plants. Then, the hydrogen blending equipment reduces energy loss during the energy conversion process, realizing the high-value utilization of hydrogen. Finally, the introduction of demand response further improves the flexibility of the IES and reduces carbon emissions, based on which a minimum-cost optimal scheduling model for the industrial park IES is established. Through a case study, it is found that the actual carbon emissions are 29.60% lower than the carbon quota, verifying the effectiveness of the proposed model. Sensitivity analysis is conducted to examine the impact of key variables on the industrial park IES.

Key words: integrated energy system, oxy-fuel combustion power plant, incentive-based demand response, thermal efficiency variation, power-to-hydrogen cooperation mechanism

覃育茗, 祝云. 考虑富氧燃烧技术与需求响应的工业园区综合能源系统优化调度[J]. 中国电力, 2026, 59(3): 48-63.

QIN Yuming, ZHU Yun. Optimal scheduling of integrated energy system in industrial parks considering oxy-fuel combustion technology and demand response[J]. Electric Power, 2026, 59(3): 48-63.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202507026

https://www.electricpower.com.cn/CN/Y2026/V59/I3/48

图/表 28

图 1 含富氧燃烧电厂的工业园区综合能源系统结构

Fig.1 Industrial park IES structure with oxy-fuel combustion power plant

图 2 富氧燃烧电厂结构

Fig.2 Oxy-fuel combustion power plant structure

图 3 电解槽功率与产氢量的关系

Fig.3 Relationship between electrolyzer power and hydrogen production

图 4 碳交易目标

Fig.4 Targets of carbon trading

图 5 奖惩制碳交易成本与碳交易量的关系

Fig.5 The relationship between the carbon trading cost and the carbon trading quantity under the reward and punishment carbon trading system

表 1 富氧燃烧电厂参数

Table 1 Parameters of the oxy-fuel combustion power plant

参数名	值	参数名	值
$ {a_{\rm TP}}$/(t·(MW·h)^–2)	0.000 75	$ \alpha $/((MW·h)·m^–3)	0.000 303
$ {b_{\rm TP}} $/(t·(MW·h)^–1)	0.3	$ {P_{{\text{ASU}}\max }} $/MW	6
$ {c_{\rm TP}}/\rm t $	0.72	$ {P_{{\text{ASU}}\min }} $/MW	3
$ \theta $	0.978	$ {O_{\rm S\max }}$/m³	150 000
$ \chi $/(m³·t^–1)	1 650	$ {O_{\rm S\min }}$/m³	30 000
$ \partial $	0.98	$ {\beta }_{\rm C} $/(元·t^–1)	800
$ {P_{\rm TP\min }} $/MW	10	$ {P_{\rm TP\min }} $/MW	50
$ \delta $/((MW·h)·t^–1)	0.089 3	$ \Delta {P_{\rm TP\max }} $/MW	10
$ {A_{\rm TPe}} $/(t·(MW·h)^–1)	0.804 9	$ {\beta }_{\rm TP} $/(元·(MW·h)^–1)	50
$ {\beta }_{\rm ASU} $/(元·(MW·h)^–1)	52	$ {\beta }_{\rm CPU} $/(元·(MW·h)^–1)	30
$ {k_{\rm C}} $	2.4

表 2 P2H参数

Table 2 Parameters of the P2H system

参数名	值	参数名	值
$ {P_1}$/MW	7	$ {K_1} $/(m³·(MW·h)^–1)	234.375
$ {P_2} $/MW	23	$ {K_2} $/(m³·(MW·h)^–1)	265.625
$ {P_3} $/MW	30	$ {K_3} $/(m³·(MW·h)^–1)	234.375
$ {H_{\max }} $/m³	50 000	$ {\beta }_{\rm EL} $/(元·(MW·h)^–1)	20
$ {H_{\min }} $/m³	10 000

表 3 掺氢燃气轮机及掺氢燃气锅炉参数

Table 3 Parameters of the HBGT and the HBGB

参数名	值	参数名	值
$ {\eta _{\rm GT,e}} $	0.4	$ Q{}_{\rm GT\min } $/MW	25
$ {\eta _{\rm GT,h}} $	0.4	$ Q{}_{\rm GT\max } $/MW	125
$ {\sigma _{\rm h2}} $/((MW·h)·m^–3)	0.003 2	$ \Delta Q{}_{\rm GT\max } $/MW	25
$ {\sigma _{\rm gas}} $/((MW·h)·m^–3)	0.01	$ {\beta }_{\rm GT} $/(元·(MW·h)^–1)	120
$ {P_{{\rm GB}\min }} $/MW	20	$ {P_{{\rm GB}\max }} $/MW	100
$ \Delta {P_{{\rm GB}\max }} $/MW	20	$ {\eta _{{\rm GB}}} $	0.9
$ {\beta }_{{\rm GB}} $/(元·(MW·h)^–1)	30	$ {\beta }_{\rm Gas} $/(元·m^–3)	2.275 4
$ {A_{\rm GTe}} $/(t·(MW·h)^–1)	0.328 8	$ {A_{\rm h}} $/(t·(MW·h)^–1)	0.053 3

表 4 碳交易及需求响应参数

Table 4 Parameters of the carbon trade and DR

参数名	值	参数名	值
f	0.2	$\omega $	0.3
$ d $/t	50	$n$	0.2
$ c $/(元·t^–1)	120	$ m $	0.2
$ {\beta _{\rm DRh1}} $/(元·MW^–1)	10

图 6 风光出力及热电负荷预测数据

Fig.6 Wind and solar power output and load forecast data

图 7 工业园区IES中的电力平衡

Fig.7 Power balance in the industrial park IES

图 8 工业园区IES中的热力平衡

Fig.8 Thermal power balance in the industrial park IES

表 5 工业园区IES调度结果

Table 5 Scheduling results for the industrial park IES

参数	值	参数	值
弃风弃光率/%	1.04	总成本/10³ 元	824.73
碳交易成本/10³ 元	–38.73	煤炭购买成本/10³ 元	171.50
弃风弃光成本/10³ 元	16.83	需求响应成本/10³ 元	18.58
系统维护成本/10³ 元	83.03	天然气购买成本/10³ 元	545.33
碳排放配额/t	695.48	实际碳排放/t	489.62
购电成本/10³ 元	0.00

图 9 富氧燃烧电厂用能状况

Fig.9 Energy consumption status of oxy-fuel combustion power plants

图 10 富氧燃烧电厂氧气储存状况

Fig.10 Oxygen storage status of oxy-fuel combustion power plants

图 11 工业园区IES中的氢气平衡

Fig.11 Hydrogen balance of the industrial park IES

图 12 IES碳排放及碳配额组成

Fig.12 IES carbon emissions and carbon allowance composition

表 6 场景1、2、3调度结果对比

Table 6 Comparison of scheduling results for scenarios 1, 2, and 3

场景	总成本/ 10³ 元	实际碳排放/t	碳排放配额/t	碳交易成本/10³ 元	弃风弃光率/%	系统维护成本/10³ 元	煤炭购买成本/10³ 元	天然气购买成本/10³ 元	火电净发电百分比/%	火电厂捕集百分比/%
1	824.73	489.62	695.48	38.73	1.04	83.03	171.50	545.33	77.10	98.00
2	903.77	859.79	550.99	60.35	2.34	66.21	120.78	565.95	100.00	0.00
3	851.43	533.20	682.48	26.85	2.00	79.29	169.75	548.69	83.84	87.50

图 13 3个场景下的燃煤机组总发电与净发电对比

Fig.13 Comparison of total and net power generation of coal-fired units under three scenarios

图 14 3个场景下的燃煤机组碳排放与碳捕集量对比

Fig.14 Comparison of carbon emissions and capture amount of coal-fired units under three scenarios

表 7 场景1、4、5调度结果对比

Table 7 Scheduling results for scenarios 1, 4, and 5

场景	总成本/ 10³ 元	实际碳排放/t	弃风弃光率/%	火电净发电百分比/%	ASU制氧量/10³ m³	P2H制氧量/10³ m³
1	824.73	489.62	1.04	77.10	317.18	36.54
4	1 016.29	545.16	9.37	66.62	396.04	0.00
5	826.69	489.79	1.04	75.32	359.20	0.00

图 15 3个场景下的ASU功耗对比

Fig.15 ASU power consumption under three scenarios

表 8 场景1、6调度结果对比

Table 8 Scheduling results for scenario 1 and 6

场景	总成本/ 10³ 元	实际碳排放/t	弃风弃光率/%	电解槽功耗/ (MW·h)
1	824.73	489.62	1.04	289.45
6	887.97	509.35	3.46	370.16

图 16 需求响应前后负荷对比

Fig.16 Comparison of loads before and after demand response

表 9 场景1、7调度结果对比

Table 9 Scheduling results for scenario 1 and 7

场景	OCPP购碳成本/10³ 元	火电净发电百分比/%
1	171.50	77.10
7	175.54	76.55

图 17 3个场景下的碳排放随碳交易价格变化趋势

Fig.17 Variation trend of carbon emissions with carbon trading prices under three scenarios

图 18 3个场景下的碳排放随煤价变化趋势

Fig.18 Variation trend of carbon emissions with coal prices under three scenarios

图 19 2个场景下的火电机组净发电百分比变化趋势

Fig.19 Variation trend of net power generation percentage of thermal power units under two scenarios

参考文献 42

1	舒印彪, 赵勇, 赵良, 等. “双碳”目标下我国能源电力低碳转型路径[J]. 中国电机工程学报, 2023, 43 (5): 1663- 1672.
	SHU Yinbiao, ZHAO Yong, ZHAO Liang, et al. Study on low carbon energy transition path toward carbon peak and carbon neutrality[J]. Proceedings of the CSEE, 2023, 43 (5): 1663- 1672.
2	夏佳伟, 张一帆, 雷浩, 等. 考虑高效氢能利用和碳捕集的综合能源系统低碳优化调度[J]. 电力建设, 2024, 45 (12): 100- 111.
	XIA Jiawei, ZHANG Yifan, LEI Hao, et al. Low-carbon economic dispatch of integrated energy system considering efficient hydrogen utilization and carbon capture equipment[J]. Electric Power Construction, 2024, 45 (12): 100- 111.
3	李欣, 陈英彰, 李涵文, 等. 考虑碳交易的电-热综合能源系统两阶段鲁棒优化低碳经济调度[J]. 电力建设, 2024, 45 (6): 58- 69.
	LI Xin, CHEN Yingzhang, LI Hanwen, et al. Two-stage Robust Optimization of Low-Carbon Economic Dispatch for Electricity-Thermal Integrated Energy System considering Carbon Trade[J]. Electric Power Construction, 2024, 45 (6): 58- 69.
4	王晟嫣. 绿色低碳转型背景下中国能源供给安全边界研究[D]. 北京: 华北电力大学, 2024.
	WANG Shengyan. China's energy supply security boundary under the background of green and low-carbon transition[D]. Beijing: North China Electric Power University, 2024.
5	傅如毅. 中国低碳转型政策的减污降碳协同效应研究[D]. 南昌: 南昌大学, 2024.
	FU Ruyi. Pollution and carbon reduction synergies of China's low-carbon transition policies[D]. Nanchang: Nanchang University, 2024.
6	吴中孚, 邓丽君, 覃智君. 计及多能灵活性的含光热电站综合能源系统多目标分布鲁棒优化调度[J]. 电力建设, 2024, 45 (12): 39- 53.
	WU Zhongfu, DENG Lijun, QIN Zhijun. Multi-objective distributionally robust optimal scheduling of integrated energy system with concentrated solar power plant considering multi-energy flexibility[J]. Electric Power Construction, 2024, 45 (12): 39- 53.
7	陈磊, 戎士敏, 王聪, 等. 考虑需求侧资源参与的区域综合能源系统低碳协同调度[J]. 电力建设, 2024, 45 (12): 54- 64.
	CHEN Lei, RONG Shimin, WANG Cong, et al. Low-carbon co-dispatch of integrated regional energy systems considering demand side resource participation[J]. Electric Power Construction, 2024, 45 (12): 54- 64.
8	束娜, 江山, 刘春伶, 等. 计及灵活性资源多时间尺度协调互济的电-气-热综合能源系统优化调度[J]. 电力建设, 2024, 45 (12): 3- 15.
	SHU Na, JIANG Shan, LIU Chunling, et al. Optimal scheduling of electricity-gas-heat integrated energy system with flexible resources in multiple time scales[J]. Electric Power Construction, 2024, 45 (12): 3- 15.
9	李珂, 邵成成, 王雅楠, 等. 考虑电-气-交通耦合的城市综合能源系统规划[J]. 中国电机工程学报, 2023, 43 (6): 2263- 2273.
	LI Ke, SHAO Chengcheng, WANG Yanan, et al. Optimal planning of urban integrated energy systems considering electricity-gas-transportation interactions[J]. Proceedings of the CSEE, 2023, 43 (6): 2263- 2273.
10	何良策, 张逸飞, 卢志刚, 等. 考虑CCGT-P2HH-CAES与需求响应的电-热综合能源系统低碳经济调度[J]. 电力建设, 2025, 46 (3): 48- 59.
	HE Liangce, ZHANG Yifei, LU Zhigang, et al. Low-carbon economic dispatch of electric-thermal integrated energy system considering CCGT-P2HH-CAES and demand response[J]. Electric Power Construction, 2025, 46 (3): 48- 59.
11	FANG G C, GAO Z Y, SUN C W. How the new energy industry contributes to carbon reduction?—evidence from China[J]. Journal of Environmental Management, 2023, 329: 117066.
12	焦鹏飞, 李海英, 何腾, 等. 碳交易价格对钢铁企业碳污染技术投入的影响[J]. 华北理工大学学报(自然科学版), 2025, 47 (2): 1- 9.
	JIAO Pengfei, LI Haiying, HE Teng, et al. Impact of carbon trading prices on carbon pollution technology investment in steel enterprises[J]. Journal of North China University of Science and Technology (Natural Science Edition), 2025, 47 (2): 1- 9.
13	刘维民, 肖辉, 曾林俊, 等. 考虑电动汽车充电模式和供需灵活性的综合能源系统优化调度[J]. 电力建设, 2025, 46 (6): 1- 12.
	LIU Weimin, XIAO Hui, ZENG Linjun, et al. Optimal scheduling of integrated energy systems considering electric vehicle charging patterns and supply-demand flexibility[J]. Electric Power Construction, 2025, 46 (6): 1- 12.
14	何华绅, 王玉玺, 随权, 等. 计及限电不确定性的园区微电网燃气轮机与空调建筑集群多时间尺度协同调度[J]. 电力建设, 2025, 46 (12): 131- 142.
	HE Huashen, WANG Yuxi, SUI Quan, et al. Multi-Time-Scale Coordinated Scheduling of Micro-Turbine and Air-Conditioning Building Clusters in Campus Microgrid Considering Load Curtailment Uncertainty[J]. Electric Power Construction, 2025, 46 (12): 131- 142.
15	YANG L S, LI Y, LIU H X. Did carbon trade improve green production performance? evidence from China[J]. Energy Economics, 2021, 96, 105185.
16	闫庆友, 刘达, 李金孟, 等. 基于场景生成与IGDT的风光-碳捕集-P2G虚拟电厂经济调度[J]. 智慧电力, 2023, 51 (2): 1- 7.
	YAN Qingyou, LIU Da, LI Jinmeng, et al. Economic dispatching of wind power-PV-carbon capture-P2G virtual power plant based on scenario generating and IGDT[J]. Smart Power, 2023, 51 (2): 1- 7.
17	潘鹏程, 朱涛杰, 谢培功. 考虑全生命周期碳排放的电热氢综合能源系统低碳经济调度[J]. 电气传动, 2025, 55 (10): 55- 63, 80.
	PAN Pengcheng, ZHU Taojie, XIE Peigong. Low carbon economic dispatch of electro-thermal-hydrogen integrated energy system considering whole life cycle carbon emissions[J]. Electric Drive, 2025, 55 (10): 55- 63, 80.
18	HE L C, LU Z G, GENG L J, et al. Environmental economic dispatch of integrated regional energy system considering integrated demand response[J]. International Journal of Electrical Power & Energy Systems, 2020, 116, 105525.
19	李欣, 刘立, 黄婧琪, 等. 含耦合P2G和CCS的园区级综合能源系统优化调度[J]. 电力系统及其自动化学报, 2023, 35 (4): 18- 25.
	LI Xin, LIU Li, HUANG Jingqi, et al. Optimal scheduling of park-level integrated energy system with coupling of P2G and CCS[J]. Proceedings of the CSU-EPSA, 2023, 35 (4): 18- 25.
20	ALI MUHAMMAD H, SULTAN H, LEE B, et al. Energy minimization of carbon capture and storage by means of a novel process configuration[J]. Energy Conversion and Management, 2020, 215, 112871.
21	YADAV S, MONDAL S S. A review on the progress and prospects of oxy-fuel carbon capture and sequestration (CCS) technology[J]. Fuel, 2022, 308, 122057.
22	鲍刚, 张永海, 彭雄, 等. 考虑信息间隙决策理论和富氧燃烧碳捕集技术的虚拟电厂优化调度[J/OL]. 电测与仪表, 1–12 (2025-03-18). https://kns.cnki.net/KCMS/detail/detail.aspx?filename=DCYQ20250314001&dbname=CJFD&dbcode=CJFQ.
	BAO Gang, ZHANG Yonghai, PENG Xiong, et al. Optimal dispatching of virtual power plant considering information gap decision theory and oxy-fuel combustion carbon capture technology[J/OL]. Electrical Measurement & Instrumentation, 1–12 (2025-03-18). https://kns.cnki.net/KCMS/detail/detail.aspx?filename=DCYQ20250314001&dbname=CJFD&dbcode=CJFQ.
23	李贻涛, 李可, 邢晓敏, 等. 考虑富氧燃烧技术的综合能源系统优化调度[J]. 电网与清洁能源, 2024, 40 (8): 1- 10, 17.
	LI Yitao, LI Ke, XING Xiaomin, et al. Optimal scheduling of the integrated energy system considering oxy-fuel combustion technology[J]. Power System and Clean Energy, 2024, 40 (8): 1- 10, 17.
24	WU M, WU Z, SHI Z L. Low carbon economic dispatch of integrated energy systems considering utilization of hydrogen and oxygen energy[J]. International Journal of Electrical Power & Energy Systems, 2024, 158, 109923.
25	王瑞, 程杉, 刘烨, 等. 基于综合需求响应和奖惩阶梯碳交易的能源枢纽主从博弈优化调度[J]. 电力系统保护与控制, 2022, 50 (8): 75- 85.
	WANG Rui, CHENG Shan, LIU Ye, et al. Master-slave game optimal scheduling of energy hub based on integrated demand response and a reward and punishment ladder carbon trading mechanism[J]. Power System Protection and Control, 2022, 50 (8): 75- 85.
26	刘浩田, 陈锦, 朱熹, 等. 一种基于价格弹性矩阵的居民峰谷分时电价激励策略[J]. 电力系统保护与控制, 2021, 49 (5): 116- 123.
	LIU Haotian, CHEN Jin, ZHU Xi, et al. An incentive strategy of residential peak-valley price based on price elasticity matrix of demand[J]. Power System Protection and Control, 2021, 49 (5): 116- 123.
27	XIONG J, ZHAO H B, ZHENG C G. Techno-economic evaluation of oxy-combustion coal-fired power plants[J]. Chinese Science Bulletin, 2011, 56 (31): 3333- 3345.
28	杨海柱, 白亚楠, 张鹏, 等. 考虑富氧燃烧碳捕集技术和源荷双侧响应的综合能源系统优化调度[J]. 中国电力, 2024, 57 (8): 227- 240.
	YANG Haizhu, BAI Yanan, ZHANG Peng, et al. Integrated energy system optimal dispatch considering oxy-fuel combustion carbon capture technology and source-load bilateral response[J]. Electric Power, 2024, 57 (8): 227- 240.
29	HUANG Q X, YAO J D, HU Y K, et al. Integrating compressed CO₂ energy storage in an oxy-coal combustion power plant with CO₂ capture[J]. Energy, 2022, 254, 124493.
30	赵均祥, 文中, 王秋杰, 等. 基于富氧燃烧技术的综合能源两阶段鲁棒低碳经济优化[J]. 中国电力, 2025, 58 (7): 24- 37.
	ZHAO Junxiang, WEN Zhong, WANG Qiujie, et al. Two-stage robust low-carbon economic optimization for integrated energy system based on oxy-fuel combustion technology[J]. Electric Power, 2025, 58 (7): 24- 37.
31	刘杰. 35MW_th富氧燃烧风烟系统建模与仿真研究[D]. 武汉: 华中科技大学, 2016.
	LIU Jie. Modeling and simulation study of 35MW_th oxy-fuel combustion air/gas system[D]. Wuhan: Huazhong University of Science and Technology, 2016.
32	ZHANG L, LIU D Y, CAI G W, et al. An optimal dispatch model for virtual power plant that incorporates carbon trading and green certificate trading[J]. International Journal of Electrical Power & Energy Systems, 2023, 144, 108558.
33	CHENG M, VERMA P, YANG Z W, et al. Flexible cryogenic air separation unit: an application for low-carbon fossil-fuel plants[J]. Separation and Purification Technology, 2022, 302, 122086.
34	郑楚光, 赵永椿, 郭欣. 中国富氧燃烧技术研发进展[J]. 中国电机工程学报, 2014, 34 (23): 3856- 3864.
	ZHENG Chuguang, ZHAO Yongchun, GUO Xin. Research and development of oxy-fuel combustion in China[J]. Proceedings of the CSEE, 2014, 34 (23): 3856- 3864.
35	GAO X H, WANG S, SUN Y, et al. Low-carbon operation of integrated electricity–gas system with hydrogen injection considering hydrogen mixed gas turbine and laddered carbon trading[J]. Applied Energy, 2024, 374, 123902.
36	YE J N, XIE M, ZHANG S P, et al. Stochastic optimal scheduling of electricity–hydrogen enriched compressed natural gas urban integrated energy system[J]. Renewable Energy, 2023, 211, 1024- 1044.
37	GAO X H, WANG S, SUN Y, et al. Low-carbon energy scheduling for integrated energy systems considering offshore wind power hydrogen production and dynamic hydrogen doping strategy[J]. Applied Energy, 2024, 376, 124194.
38	邱玥, 周苏洋, 顾伟, 等. “碳达峰、碳中和”目标下混氢天然气技术应用前景分析[J]. 中国电机工程学报, 2022, 42 (4): 1301- 1321.
	QIU Yue, ZHOU Suyang, GU Wei, et al. Application prospect analysis of hydrogen enriched compressed natural gas technologies under the target of carbon emission peak and carbon neutrality[J]. Proceedings of the CSEE, 2022, 42 (4): 1301- 1321.
39	LI Y, BU F J, GAO J K, et al. Optimal dispatch of low-carbon integrated energy system considering nuclear heating and carbon trading[J]. Journal of Cleaner Production, 2022, 378, 134540.
40	CHEN C M, WU X G, MA J E, et al. Optimal low-carbon scheduling of integrated local energy system considering oxygen-enriched combustion plant and generalized energy storages[J]. IET Renewable Power Generation, 2022, 16 (4): 671- 687.
41	ZHANG X P, ZHANG Y Z. Environment-friendly and economical scheduling optimization for integrated energy system considering power-to-gas technology and carbon capture power plant[J]. Journal of Cleaner Production, 2020, 276, 123348.
42	WANG R T, WEN X Y, WANG X Y, et al. Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading[J]. Applied Energy, 2022, 311, 118664.

[1]	张啸林, 杜尔顺, 张光斗, 王佳旭, 宋亮, 刘昱良. 考虑发电与碳排放不确定性的园区综合能源系统分布鲁棒优化[J]. 中国电力, 2026, 59(2): 1-12.
[2]	丁小强, 袁至, 李骥. 基于混合Wasserstein两阶段分布鲁棒的多区域含氢综合能源系统合作运行优化[J]. 中国电力, 2025, 58(7): 1-14.
[3]	郭政麟, 陈舒童, 田嘉雯, 陈峦, 郭中杰, 胡维昊, 付强. 基于容量价值函数的综合能源系统多元资源协同配置[J]. 中国电力, 2025, 58(7): 15-23.
[4]	赵均祥, 文中, 王秋杰, 张业伟. 基于富氧燃烧技术的综合能源两阶段鲁棒低碳经济优化[J]. 中国电力, 2025, 58(7): 24-37.
[5]	张瀚公, 谢丽蓉, 王层层, 任娟, 卞一帆, 韩宪超. 考虑氢能多元利用的综合能源系统低碳灵活调度[J]. 中国电力, 2025, 58(7): 38-53.
[6]	王辉, 董宇成, 夏玉琦, 周子澜, 李欣. 考虑阶梯碳-绿证互认与重力储能的矿区综合能源系统优化调度[J]. 中国电力, 2025, 58(7): 54-67.
[7]	周建华, 梁昌誉, 史林军, 李杨, 易文飞. 计及阶梯式碳交易机制的综合能源系统优化调度[J]. 中国电力, 2025, 58(2): 77-87.
[8]	张玉敏, 尹延宾, 吉兴全, 叶平峰, 孙东磊, 宋爱全. 计及热网不同运行状态下灵活性供给能力的综合能源系统优化调度[J]. 中国电力, 2025, 58(2): 88-102.
[9]	胡景成, 范耘豪, 朱同, 陈珍萍. 基于同态加密的综合能源系统完全分布式低碳经济调度[J]. 中国电力, 2025, 58(2): 164-175.
[10]	沈祎淳, 彭弘毅, 张钊诚, 晏鸣宇. 基于多面体等值聚合的氢-电-热综合能源微网群非迭代式分散协同调度方法[J]. 中国电力, 2025, 58(12): 37-49.
[11]	卢艺玮, 宋晓通, 张佳惠, 李华健, 苏珈, 巨云涛, 贾旭文. 基于非均衡纳什谈判的多主体综合能源协同优化[J]. 中国电力, 2025, 58(11): 88-100.
[12]	杨胡萍, 龚家宁, 程明, 李向军, 刘常禄, 张扬. 计及多重不确定性的综合能源系统两阶段鲁棒低碳优化调度[J]. 中国电力, 2025, 58(11): 101-110, 121.
[13]	陆海, 张浩, 陈晓云, 周苏洋. 基于双层博弈的多能源网络协同规划方法[J]. 中国电力, 2025, 58(1): 93-99.
[14]	鲁玲, 苑涛, 杨波, 李欣, 鲁洋, 蒲秋平, 张鑫. 计及㶲效率和多重不确定性的区域综合能源系统双层优化[J]. 中国电力, 2025, 58(1): 128-140.
[15]	谭玲玲, 汤伟, 楚冬青, 李竞锐, 张玉敏, 吉兴全. 基于主从博弈的电热氢综合能源系统优化运行[J]. 中国电力, 2024, 57(9): 136-145.